He is a recipient of KAIST's EWON Endowed Chair Professor and Soo-Young Lee Teaching Innovation Award. He also won best paper awards at SOSP'21 and USENIX ATC'18.
His main research topics are:
Rethinking system software with Rust Language.
Improving performance of emerging machine learning workloads by new system supports.
Redesigning distributed file systems with new technologies such as non-volatile memory and SmartNIC.
Improving reliability of operating systems: detecting the root cause of kernel concurrency bugs, finding new Kernel bugs.
Designing systems for resource disaggregation.
Co-designing hardware and software for secure services.
Email: yjkwon at kaist.ac.kr
PRIMO: A Full-Stack Processing-in-DRAM Emulation Framework for Machine Learning Workloads, ICCAD 2023
EnvPipe: Performance-preserving DNN Training Framework for Saving Energy, USENIX ATC 2023
SEGFUZZ: Segmentizing Thread Interleaving to Discover Kernel Concurrency Bugs through Fuzzing, IEEE Symposium on Security & Privacy 2023.
Diagnosing Kernel Concurrency Failures with AITIA, EuroSys 2023
DiLOS: Do Not Trade Compatibility for Performance in Memory Disaggregation, EuroSys 2023, Best-paper runner-up.
2024: USENIX OSDI, USENIX FAST, ASPLOS, EUROSYS
2023: USENIX ATC, EUROSYS, SYSTOR, APSYS
2022: USENIX FAST, USENIX ATC, HotStorage, APSYS
2021: USENIX ATC, SYSTOR, ANCS, APSYS, EuroDW
2020: USENIX ATC, MSST, APSYS
2019: ASPLOS (external), VEE, MSST, APSYS
ACM Transactions on Storage
ACM Transactions on Computer Systems
ACM Transactions on Computers
Student Volunteer Chair, Mobisys 2019